Natural language processing for identification of hypertrophic cardiomyopathy patients from cardiac magnetic resonance reports

BACKGROUND: Cardiac magnetic resonance (CMR) imaging is important for diagnosis and risk stratification of hypertrophic cardiomyopathy (HCM) patients. However, collection of information from large numbers of CMR reports by manual review is time-consuming, error-prone and costly. Natural language pro...

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Detalles Bibliográficos
Autores principales: Dewaswala, Nakeya, Chen, David, Bhopalwala, Huzefa, Kaggal, Vinod C., Murphy, Sean P., Bos, J. Martijn, Geske, Jeffrey B., Gersh, Bernard J., Ommen, Steve R., Araoz, Philip A., Ackerman, Michael J., Arruda-Olson, Adelaide M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580188/
https://www.ncbi.nlm.nih.gov/pubmed/36258218
http://dx.doi.org/10.1186/s12911-022-02017-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580188/
https://www.ncbi.nlm.nih.gov/pubmed/36258218
http://dx.doi.org/10.1186/s12911-022-02017-y

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